FinOps AI/ML Engineering Lead — Multi-Cloud

Accenture; Pittsburgh (Allegheny County); On-site; USD 90,000 - 293,000; Full time

Job summary

Accenture is seeking a senior solution architect and delivery leader to drive FinOps automation across multi-cloud environments, including AWS, Azure, and GCP. You will define reference architectures, establish cost governance frameworks, and mentor teams to ship production-grade automations.

Travel 0-100% as needed. The role requires 8–12 years in cloud engineering or platform architecture and 3+ years leading FinOps programs, with knowledge of agentic AI frameworks and MCP integration.

Qualifications

• Minimum of 8 years in cloud engineering, AI automation, or platform architecture.
• Minimum of 3 years leading FinOps automation programs.
• Minimum 1 year in agentic AI frameworks (LangGraph, AutoGen, Crew-style) and MCP integration.
• Bachelor's degree or 12+ years of work experience in CS/Engineering/IT/Data.

Responsibilities

• Define reference architectures for agentic AI orchestration across multi-cloud systems.
• Establish cost governance frameworks using OPA/Rego or Sentinel; design IaC guardrails.
• Lead squads to implement agentic workflows, IaC modules, and policy libraries with CI/CD.
• Mentor associate managers, consultants, and analysts in automation best practices.
• Operationalize Responsible AI standards including RBAC and secrets management.
• Define KPIs for automation coverage and savings; publish dashboards.
• Support proposals, client workshops, and SOW development for agentic FinOps.

Skills

Cloud engineering

AI automation

Platform architecture

FinOps automation

Agentic AI

Python

TypeScript

IaC

Policy-as-code

CI/CD

Education

Bachelor's degree in Computer Science/Engineering/IT/Data

Equivalent work experience ≥12 years

Tools

Terraform

Bicep

ARM

OPA/Rego

Sentinel

GitHub Actions

Azure DevOps

Job description

Accenture is seeking a senior solution architect and delivery leader to drive FinOps automation across multi-cloud environments, including AWS, Azure, and GCP. You will define reference architectures, establish cost governance frameworks, and mentor teams to ship production-grade automations.

Travel 0-100% as needed. The role requires 8–12 years in cloud engineering or platform architecture and 3+ years leading FinOps programs, with knowledge of agentic AI frameworks and MCP integration.